Real-time sync
Changes in Microsoft Power Bi or SingleStore instantly reflect in both systems. No stale data, no manual imports.
Keep Microsoft Power Bi and SingleStore in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Microsoft Power Bi is a read-only source: Stacksync reads its data in real time and delivers it into SingleStore, so SingleStore always reflects the current state of Microsoft Power Bi — without exports, scripts, or schedulers.
A database holds the rows your business runs on: the users, events, orders, and records that every service reads and writes. Microsoft Power Bi is where people make sense of them, as dashboards, funnels, cohorts, and metrics. Moving the data from SingleStore into Microsoft Power Bi usually means a hand-built extract or a change-data-capture pipeline that breaks the moment a column is renamed, and reporting that always trails last night's load.
The users, events, orders, and records stored in SingleStore land in Microsoft Power Bi as they change, so dashboards, funnels, and metrics run on current data instead of last night's extract.
A user, account, or record corrected in either system updates the other, so the identity your reports group by matches the identity your database stores.
Attributes teams slice by, such as plan, region, or account owner, stay current in Microsoft Power Bi because they sync from SingleStore as they change, instead of going stale after a one-time import.
Representative objects on each side — any object or custom field can map to any target. Schemas are auto-detected; types are converted between the two systems.
| Microsoft Power Bi objects | SingleStore objects | How this pairing syncs | |
|---|---|---|---|
| Activity Events (Audit Log) Admin audit log of user and content actions read via GET /admin/activityevents; loaded for security, access, and usage reporting across the tenant. | Views Read-only projections used as curated sync sources. | Activity Events (Audit Log) is specific to Microsoft Power Bi and Views to SingleStore — each maps to any object or custom field on the other side. | |
| Users and Access Workspace users and roles read via GET /groups/{id}/users or the admin scanner APIs; read for access reviews and identity reconciliation against an IdP. | Reference Tables Small tables replicated to every node, often used for dimension data in syncs. | Users and Access is specific to Microsoft Power Bi and Reference Tables to SingleStore — each maps to any object or custom field on the other side. | |
| Datasets (Semantic Models) Tabular models behind reports; their rows are read with DAX via POST datasets/{id}/executeQueries, and datasource and refresh metadata via REST list endpoints. | Pipelines Native ingestion jobs from Kafka or object storage that coexist with external syncs. | Datasets (Semantic Models) is specific to Microsoft Power Bi and Pipelines to SingleStore — each maps to any object or custom field on the other side. | |
| Reports Report definitions and metadata read via GET /reports and per-workspace GET /groups/{id}/reports; enumerated to mirror the content inventory into a catalog. | Stored Procedures Existing logic sometimes invoked on write paths. | Reports is specific to Microsoft Power Bi and Stored Procedures to SingleStore — each maps to any object or custom field on the other side. | |
| Dashboards and Tiles Dashboards and their pinned tiles read via GET /dashboards and /dashboards/{id}/tiles; inventoried to map dashboard content back to its source datasets. | Indexes and Shard Keys Determine data distribution and lookup speed for sync match keys. | Dashboards and Tiles is specific to Microsoft Power Bi and Indexes and Shard Keys to SingleStore — each maps to any object or custom field on the other side. | |
| Dataflows Power Query ETL definitions read via GET /groups/{id}/dataflows; used to document lineage from upstream sources into datasets. | Databases The connection target containing the tables a sync addresses. | Dataflows is specific to Microsoft Power Bi and Databases to SingleStore — each maps to any object or custom field on the other side. |
Each direction of the sync is driven by what the source system can signal and what the destination accepts — detection, delivery, and expected latency below.
DetectionStacksync polls Microsoft Power Bi for changes on an incremental schedule, reading only records changed since the previous pass. Pull-based: no webhooks or change-data-capture.
DeliveryEach detected change is applied to SingleStore as a row-level write, with types converted between the two schemas.
DetectionStacksync polls SingleStore for changes on an incremental schedule, reading only records changed since the previous pass. Polling on timestamp or watermark columns.
DeliveryMicrosoft Power Bi does not accept inbound record writes, so this direction carries requests rather than records: Microsoft Power Bi's output flows back as field updates on the originating SingleStore records.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Microsoft Power Bi–SingleStore connection.
Changes in Microsoft Power Bi or SingleStore instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Microsoft Power Bi or SingleStore data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Microsoft Power Bi or SingleStore record.
Track your Microsoft Power Bi ⇄ SingleStore sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Microsoft Power Bi and SingleStore.
Configure and sync within minutes, no code. Whether you sync 50k or 100M+ records, Stacksync handles the queues, infra, and plumbing. Integrations are non-invasive and need zero setup on your systems.
Authenticate Microsoft Power Bi and SingleStore with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Pick the Microsoft Power Bi and SingleStore objects to sync — Stacksync auto-detects both schemas, including custom fields where the platform exposes them. Sync to existing tables, or let Stacksync create new ones with ideal data types.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time integration between Microsoft Power Bi and SingleStore — Microsoft Power Bi is a read-only source, so data flows from it into the other system: authenticate both systems, choose the objects to sync, map fields visually, and changes propagate in milliseconds — no code required.
Yes — Stacksync ships production-grade connectors for both Microsoft Power Bi and SingleStore. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Microsoft Power Bi: Pull-based: no webhooks or change-data-capture. Content is polled via REST list endpoints, dataset changes are inferred from Refresh History and the admin Activity Events audit log, and the scanner API's GetModifiedWorkspaces reports workspaces changed since a given time. On SingleStore: Polling on timestamp or watermark columns; the platform also provides change-observation features in recent versions. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Microsoft Power Bi side: Users and Access, Datasets (Semantic Models), Reports, Dashboards and Tiles, plus custom fields where Microsoft Power Bi exposes them. On the SingleStore side: Databases, Tables (rowstore and columnstore), Views, Reference Tables. Stacksync auto-detects both schemas and converts types between the two systems.
Microsoft Power Bi is a read-only source, so this integration runs one-way: Stacksync reads from Microsoft Power Bi in real time and delivers into SingleStore. Field mapping and monitoring work the same as for two-way pairs.
Common patterns for Microsoft Power Bi and SingleStore: Analytics on live operational data, minus the pipeline; One version of each user or account; Filter and grouping dimensions kept fresh. The users, events, orders, and records stored in SingleStore land in Microsoft Power Bi as they change, so dashboards, funnels, and metrics run on current data instead of last night's extract.
As a data company, we understand the importance of keeping your data secure. Stacksync is built with security best practices to keep your data safe at every layer, and is DPF-certified for US, EU, UK and CH data transfers.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 381 integrations available for Microsoft Power Bi and SingleStore.